Skin cancer is a disease that affects people of all ages. Automated diagnosis of skin cancer reduces the rate of death by detecting the disease at primary phase. Visual inspecting at the clinical ...

Accurate delineation of skin lesions in images is important for skin cancer detection. Existing methods often struggle with inherent complexities, such as irregular boundaries, textures, and artefacts ...

Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new AI-powered tool that analyzes multiple imaging types simultaneously, developed by an international ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

Share on Pinterest Evidence suggests that AI tools assisting dermatologists can improve diagnostic performance for skin cancer. Image credit: PER Images/Stocksy A study suggests that artificial ...

The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...

The technology aims to significantly reduce waiting times by efficiently triaging patients with suspicious skin lesions. DERM (Deep Ensemble for Recognition of Malignancy), developed by Skin Analytics ...

Please provide your email address to receive an email when new articles are posted on . Solid organ transplant recipients are 7.8 times more likely to develop skin cancer. Risk-stratified surveillance ...

WINSTON-SALEM, N.C., Oct. 22, 2025 — Researchers at Wake Forest University School of Medicine have developed a groundbreaking, battery-free wearable patch that could help detect skin cancer earlier ...